Triple
T12724459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalinga people |
E304066
|
entity |
| Predicate | notableIndividual |
P20309
|
FINISHED |
| Object | Whang-od |
E999205
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Whang-od | Statement: [Kalinga people, notableIndividual, Whang-od]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whang-od Context triple: [Kalinga people, notableIndividual, Whang-od]
-
A.
Shungnak
Shungnak is a small Inupiat village in northwestern Alaska known for its remote location above the Arctic Circle and traditional subsistence lifestyle.
-
B.
Whang-Od
chosen
Whang-Od is a renowned Filipina mambabatok (traditional Kalinga tattoo artist) celebrated as one of the last and most iconic practitioners of indigenous hand-tap tattooing in the Philippines.
-
C.
Koh Bong-joon
Koh Bong-joon is a Korean individual notable enough to be recognized as a prominent bearer of the surname Koh.
-
D.
Kong Mun
Kong Mun is the Cantonese name for Jiangmen, a prefecture-level city in Guangdong Province, China, known historically as a major source of overseas Chinese emigration.
-
E.
Nam-ku
Nam-ku is the McCune–Reischauer romanization of Nam District, an administrative district in the city of Busan, South Korea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964148f988190a4d0e7b41614fa64 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684e61e7081908dec7958e8bc1125 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:25 p.m.